TECHNICAL PAPERS
Oct 1, 2005

Whole-Cell Fatty Acid Composition of Total Coliforms to Predict Sources of Fecal Contamination

Publication: Journal of Environmental Engineering
Volume 131, Issue 10

Abstract

The objective of this study was to test the hypothesis that total coliforms isolated from human and nonhuman sources have distinctly different whole-cell fatty acid methyl ester (FAME) profiles. The FAME profiles studied included total coliforms isolated from sewage; feces of livestock, including bovine (dairy cattle), poultry, and swine; and feces of wildlife, including waterfowl and deer. Multiple samples within each category were collected and 303 total coliform isolates were cultured. It was found that the FAMEs 12:0 2OH and 14:0 2OH were exclusively associated with sewage samples, whereas the FAMEs 18:0 and 19:0 ISO were identified only in isolates from the livestock samples. In addition to the presence of signature FAMEs, the average relative masses of 16:1 ω7c , 18:1 ω7c , and 19:0 CYCLO ω8c were significantly different between human and nonhuman sources of total coliforms. A linear discriminant function based on these differences discriminated total coliform isolates of human origin against the other five host categories at a 77% rate of correct classification (RCC). These results strongly support the validity of our hypothesis and suggest that the FAME profiles of total coliforms have the potential to be used as a phenotypic microbial source tracking (MST) tool for predicting the sources of microbial contamination in water environments.

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Acknowledgment

This work was sponsored in part by the Office of Research and Sponsored Projects of Villanova University. The authors are grateful to Mr. Donald Cairns (Cairns Farm), Dr. Thomas D. Parsons and Mr. Mark Lewis (University of Pennsylvania, Swine Teaching and Research Facility), Mr. James Tatro and his students (Walter Biddle Saul High School of Agricultural Sciences), Mr. Eric Stoltz of Valley Forge Sewage Authority, and the staff of Phoenixville Sewage Treatment Plant for their assistance in sample collection.

References

Bernhard, A. E., and Field, K. G. (2000a). “Identification of nonpoint sources of fecal pollution in coastal waters by using host-specific 16S ribosomal DNA genetic markers from fecal anaerobes.” Appl. Environ. Microbiol., 66(4), 1587–1594.
Bernhard, A. E., and Field, K. G. (2000b). “A PCR assay to discriminate human and ruminant feces on the basis of host differences in Bacteroides-Prevotella genes encoding 16S rRNA.” Appl. Environ. Microbiol., 66(10), 4571–4574.
Briganti, L. A., and Wacker, S. C. (1995). “Fatty acid profiling and the identification of environmental bacteria for drinking water utilities.” AWWA Research Foundation report, Project 534.
Booth, A. M., Hagedorn, C., Graves, A. K., Hagedorn, S. C., and Mentz, K. H. (2003). “Sources of fecal pollution in Virginia’s Blackwater River.” J. Environ. Eng., 129(6), 547–552.
Buchan, A., Alber, M., and Hodson, R. (2001). “Strain-specific differentiation of environmental Escherichia coli isolates via denaturing gradient gel electrophoresis (DGGE) analysis of the 16S-23S intergenic spacer region.” FEMS Microbiol. Ecol., 35, 313–321.
Carson, C. A., Shear, B. L., Ellersieck, M. R., and Asfaw, A. (2001). “Identification of fecal Escherichia coli from humans and animals by ribotyping.” Appl. Environ. Microbiol., 67(4), 1503–1507.
Carson, C. A., Shear, B. L., Ellersieck, M. R., and Schnell, J. D. (2003). “Comparison of ribotyping and repetitive extragenic palindromic-PCR for identification of fecal Escherichia coli from humans and animals.” Appl. Environ. Microbiol., 69(3), 1836–1839.
Castingnolles, N., Petit, F., Mendel, I., Simon, L., Cattolico, L., and Buffet-Janvresse, C. (1998). “Detection of adenoviruses in the waters of the Seine River Estuary by nested-PCR.” Mol. Cell. Probes, 12, 175–180.
Cha, D. K., Fuhrmann, J. J., Kim, D. W., and Golt, C. M. (1999). “Fatty acid methyl ester (FAME) analysis for monitoring Nocardia levels in activated sludge.” Water Res., 33, 1964–1966.
Chlorine Chemistry Council (CCC). (2003). “Drinking water chlorination: A review of disinfection practices and issues.” February 2003.
Dombek, P. E., Johnson, L. K., Zimmerley, S. T., and Sadowsky, M. J. (2000). “Use of repetitive DNA sequences and the PCR to differentiate Escherichia coli isolates from human and animal sources.” Appl. Environ. Microbiol., 66(6), 2572–2577.
Eaton, A. D., Clesceri, L. S., and Greenberg, A. E. (1995). Standard methods for the examination of water and wastewaters, 19th Ed., American Public Health Association, American Water Works Association, and Water Environment Federation, Washington, D.C.
Environmental Protection Agency (EPA). (2000). “National water quality inventory: 2000 Report.” EPA-841-R-02-001, Environmental Protection Agency, Washington, D.C.
Environmental Protection Agency (EPA). (2004). “National section 303(d) list fact sheet.” EPA, Washington, D.C., ⟨http://oaspub.epa.gov/waters/national_rept.control⟩, accessed February 9, 2004.
Fang, J., Barcelona, M. J., and Alvarez Pedro, J. J. (2000). “A direct comparison between fatty acid analysis and intact phospholipids profiling for microbial identification.” Org. Geochem., 31, 881–887.
Findlay, R. H., King, G. M., and Watling, L. (1989). “Efficiency of phospholipids analysis in determining microbial biomass in sediments.” Appl. Environ. Microbiol., 55, 2888–2893.
Findlay, R. H., and White, D. C. (1987). “A simplified method for microbial nutritional status based on simultaneous determination of phospholipids and endogenous storage lipid poly beta-hydroxy alkanoate.” J. Microbiol. Methods, 6, 113–120.
Griffith, J. F., Weisberg, S. B., and McGee, C. D. (2003). “Evaluation of microbial source tracking methods using mixed fecal sources in aqueous test samples.” J. Water Health, 1(4), 141–151.
Hagedorn, C., Robinson, S. L., Filtz, J. R., Grubbs, S. M., Angier, T. A., and Reneau, R. B. (1999). “Determining sources of fecal pollution in a rural Virginia watershed with antibiotic resistance patterns in fecal streptococci.” Appl. Environ. Microbiol., 65(12), 5522–5531.
Hartel, P. G., Summer, J. D., Hill, J. L., Collins, J. V., Entry, J. A., and Segars, J. A. (2002). “Geographic variability of Escherichia coli ribotypes from animals in Idaho and Georgia.” J. Environ. Qual., 31, 1273–1278.
Harwood, V. J., Whitlock, J., and Withington, V. (2000). “Classification of antibiotic resistance patterns of indicator bacteria by discriminant analysis: Use in predicting the source of fecal contamination in subtropical waters.” Appl. Environ. Microbiol., 66(9), 3698–3704.
Hsu, F. C., Shieh, Y. S. C., Duin, J. V., Beekwilder, M. J., and Sobsey, M. D. (1995). “Genotyping male-specific RNA coliphages by hybridization with oligonucleotide probes.” Appl. Environ. Microbiol., 61(11), 3960–3966.
Jiang, S., Noble, R., and Chu, W. (2001). “Human adenoviruses and coliphage in urban runoff-impacted coastal waters of Southern California.” Appl. Environ. Microbiol., 67(1), 179–184.
Khatib, L., Tsai, Y., and Olson, B. (2002). “A biomarker for the identification of cattle fecal pollution in water using the LTIIa toxin gene from enterotoxigenic Escherichia coli.” Appl. Microbiol. Biotechnol., 59(1), 97–104.
Khatib, L., Tsai, Y., and Olson, B. (2003). “A biomarker for the identification of swine fecal pollution in water using the STII toxin gene from enterotoxigenic Escherichia coli.” Appl. Microbiol. Biotechnol., 63(2), 231–238.
Liu, W. T., Marsh, T. L., Cheng, H., and Forney, L. J. (1997). “Characterization of microbial diversity by determining terminal restriction fragment length polymorphisms of genes encoding 16s rRNA.” Appl. Environ. Microbiol., 63, 4516–4522.
Macdonald, R., and Kalmakoff, J. (1995). “Comparison of pulsed-field gel electrophoresis DNA fingerprints of field isolates of the entomopathogen Bacillus popilliae.” Appl. Environ. Microbiol., 61, 2446–2449.
Nichols, P. D., Mancuso, L. A., and White, D. C. (1987). “Measurement of methanotroph and methanogen signature phospholipids for use in assessment of biomass and community structure in model systems.” Org. Geochem., 11, 451–461.
Noble, R. T., and Fuhrman, J. A. (2001). “Enteroviruses detected by reverse transcriptase polymerase chain reaction from the coastal waters of Santa Monica Bay, California: Low correlation to bacterial indicator levels.” Hydrobiologia, 460(1–3), 175–184.
Oshiro, R. K., and Olson, B. H. (1997). “Occurrence of STh toxin gene in wastewater.” Coliforms and E. coli: Problem or solution? D. Kay and C. Fricher, eds., Royal Society of Chemistry, Cambridge, U.K.
Parveen, S., Hodge, N. G., Stall, R. E., Farrah, S. R., and Tamplin, M. L. (2001). “Phenotypic and genotypic characterization of human and nonhuman Escherichia coli.” Water Res., 35(2), 379–376.
Parveen, S., Murphee, R. L., Edmiston, L., Kaspar, C. W., Portier, K. M., and Tamplin, M. L. (1997). “Association of multiple-antibiotic-resistance profiles with point and nonpoint sources of E. coli in Apalachicola Bay.” Appl. Environ. Microbiol., 63(7), 2607–2612.
Parveen, S., Portier, K. M., Robinson, K., Edmiston, L., and Tamplin, M. L. (1999). “Discriminant analysis of ribotype profiles of Escherichia coli for differentiating human and nonhuman sources of fecal pollution.” Appl. Environ. Microbiol., 65(7), 3142–3147.
Pinkart, H. C., Ringelberg, D. B., Piceno, Y. M., Macnaughton, S. J., and White, D. C. (2002). “Biochemical approaches to biomass measurements and community structure analysis.” Manual of environmental microbiology, 2nd. Ed., J. H. Hurst, D. H. Stahl, and M. J. Knudsen, eds., ASM, Herndon, Va.
Sasser, M. (1990). “Identification of bacteria by gas chromatography of cellular fatty acids.” Technical Note 101, MIDI, Inc., Newark, Del.
Scott, T. M., Jenkins, T. M., Lukasik, J., and Rose, J. B. (2005). “Potential use of a host-associated molecular marker in Enterococcus faecium as an index of human fecal pollution.” Environ. Sci. Technol., 39(1), 283–287.
Scott, T. M., Rose, J. B., Jenkins, T. M., Farrah, S. R., and Lukasik, J. (2002). “Microbial source tracking: Current methodology and future directions.” Appl. Environ. Microbiol., 68(12), 5796–5803.
Scott, T. M. et al. (2003). “Geographical variation in ribotype profiles of Escherichia coli isolates from humans, swine, poultry, beef, and dairy cattle in Florida.” Appl. Environ. Microbiol., 69(2), 1089–1092.
Simmons, G. E., Jr., Waye, D. F., Herbein, S., Myers, S., and Walker, E. (2002). “Estimating nonpoint source fecal coliform sources using DNA profile analysis.” Advances in water monitoring research, T. Younos, ed., Water Resources, Denver, 143–168.
Simpson, J. M., Santo Domingo, J. W., and Reasoner, D. J. (2002). “Microbial source tracking: State of the science.” Environ. Sci. Technol., 36(24), 5279–5288.
Stewart, J. R., Ellender, R. D., Gooch, J. A., Jiang, S., Myoda, S. P., and Weisberg, S. B. (2003). “Recommendations for microbial source tracking: Lessons from a methods comparison study.” J. Water Health, 1(4), 225–231.
Tsai, Y. L., Sobsey, M. D., Sangermano, L. R., and Palmer, C. J. (1993). “Simple method of concentrating enteroviruses and hepatitis A virus from sewage and ocean water for rapid detection by reverse-transcriptase-polymerase chain reaction.” Appl. Environ. Microbiol., 59, 3488–3491.
Wallis, J. L., and Taylor, H. D. (2003). “Phenotypic population characteristics of the enterococci in wastewater and animal faeces: Implications for the new European directive on the quality of bathing waters.” Water Sci. Technol., 47, 27–32.
Werker, A. G., and Hall, E. R. (2000). “Assessment of microbial fatty acid analysis for quantifying mixed culture biomass during batch growth.” Water Environ. Res., 72(4), 484–489.
White, D. C., Davis, W. M., Nickels, J. S., King, J. D., and Robie, R. J. (1979). “Determination of the sedimentary microbial biomass by extractable lipid phosphate.” Oecologia, 40, 51–62.
Whitlock, J. E., Jones, D. T., and Harwood, V. J. (2002). “Identification of the sources of fecal coliforms in an urban watershed using antibiotic resistance analysis.” Water Res., 36, 4273–4282.
Wiggins, B. A. (1996). “Discriminant analysis of antibiotic resistance patterns in fecal streptococci: A method to differentiate human and animal sources of fecal pollution in natural waters.” Appl. Environ. Microbiol., 62(11), 3997–4002.
Wiggins, B. A., et al. (1999). “Use of antibiotic resistance analysis to identify nonpoint sources of fecal pollution.” Appl. Environ. Microbiol., 65(8), 3483–3486.
Wiggins, B. A., et al. (2003). “Use of antibiotic resistance analysis for representativeness testing of multiwatershed libraries.” Appl. Environ. Microbiol., 69(6), 3399–3405.

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Go to Journal of Environmental Engineering
Journal of Environmental Engineering
Volume 131Issue 10October 2005
Pages: 1426 - 1432

History

Received: Oct 21, 2004
Accepted: Jan 27, 2005
Published online: Oct 1, 2005
Published in print: Oct 2005

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Authors

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Berat Z. Haznedaroğlu [email protected]
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Villanova Univ., Villanova, PA 19085. E-mail: [email protected]
Daniel H. Zitomer, M.ASCE [email protected]
P.E.
Associate Professor, Dept. of Civil and Environmental Engineering, Marquette Univ., Milwaukee, WI 53201. E-mail: [email protected]
George B. Hughes-Strange [email protected]
Undergraduate Student, Washington Univ. in St. Louis, Dept. of Chemistry, St. Louis, MO 63130. E-mail: [email protected]
Metin Duran, M.ASCE [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Villanova Univ., Villanova, PA 19085. (corresponding author). E-mail: [email protected]

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